Dihuni Launches Powerful GPU Cloud Platform for AI Compute, Inference, and RAG Offerings enabled by Qubrid AI Technology

Developers and enterprise can access latest GPUs on-demand or reserve long term instances and utilize advanced software tools for Inference, Finetuning and RAG

Dihuni, a leading artificial intelligence (AI), data center and Internet of Things (IoT) solutions company announced the launch of its GPU Cloud. Dihuni has rebranded the advanced Qubrid AI platform and is offering GPU as a Service (GPUaaS) and AI tools under it’s own brand.

For the past seven plus years, Dihuni has been serving enterprise, educational, and government customers worldwide with on-premises GPU servers and high-performance computing solutions. Building on this foundation, the company is now extending its expertise to the cloud, offering customers a flexible option to access cutting-edge GPU infrastructure without the capital burden of purchasing expensive hardware.

This new cloud offering allows enterprises, startups, and researchers to access dedicated GPUs on-demand enabling faster AI training, fine-tuning, inferencing, and enterprise-grade RAG workflows. Customers now have the freedom to choose between on-premises deployments and cloud-based GPU services, depending on their scalability, security, and budget requirements.

Organizations require scalable GPU infrastructure without the complexities or delays often seen in traditional hyperscale environments. By partnering with Qubrid AI, Dihuni is now able to deliver a powerful GPU cloud platform that provides transparency, reliability, and flexibility -whether customers are deploying in the cloud, on-premises, or in a hybrid model.

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Expanded Features of Dihuni GPU Cloud Services

• On-Demand GPU Cloud Compute: Access to advanced GPU virtual machines for AI training, fine-tuning, and high-performance computing workloads.
• Long Term GPU Server Rental – access to dedicated bare metal dedicated servers for monthly or annual periods
• AI Inferencing Pipelines: Scalable deployment and optimization of AI models for real-world production use cases.
• Retrieval-Augmented Generation (RAG): Enterprise-ready RAG services that combine knowledge retrieval with generative AI for improved accuracy and contextual intelligence.
• Hybrid Deployment Options: Customers can run workloads entirely in the cloud or on-premises through Qubrid AI’s controller software, ensuring flexibility and data control.
• Transparent GPU Allocation: Unlike some providers, Dihuni guarantees dedicated GPU access without oversubscription or inefficient hypervisor overhead.

By leveraging Qubrid AI’s next generation platform technology, Dihuni ensures customers gain access to turnkey AI templates, enterprise ready infrastructure, and performance optimized environments that accelerate time to market for AI innovation.